Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. - Xiang Zhang 012; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (MobiQuitous, 2017)

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots (CoRR, 2017)

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Tao Gu 001; Zhiwen Yu 001; Xianzhi Wang 001; Dalin Zhang 001 (CoRR, 2017)

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots; Boualem Benatallah (AAAI, 2018)

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001 (CIKM, 2018)

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. - Kaixuan Chen 001; Lina Yao 001; Xianzhi Wang 001; Dalin Zhang 001; Tao Gu 001; Zhiwen Yu 001; Zheng Yang 002 (IJCNN, 2018)

Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Sen Wang 001; Kaixuan Chen 001; Zheng Yang 002; Boualem Benatallah (PAKDD (1), 2018)

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. - Xiang Zhang 012; Lina Yao 001; Quan Z. Sheng; Salil S. Kanhere; Tao Gu 001; Dalin Zhang 001 (PerCom, 2018)

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Salil S. Kanhere; Dalin Zhang 001 (CoRR, 2018)

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xiaojun Chang; Guodong Long; Sen Wang 001 (AAAI, 2019)

Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. - Dalin Zhang 001; Kaixuan Chen 001; Debao Jian; Lina Yao 001; Sen Wang 001; Po Li (ICDM, 2019)

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Guodong Long; Sen Wang 001 (ICDM, 2019)

Multi-agent Attentional Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Bin Guo 001; Zhiwen Yu 001 (IJCAI, 2019)

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Jessica Monaghan (IEEE Signal Process. Lett., 2019)

Research on the Dynamics Game Model in a Green Supply Chain: Government Subsidy Strategies under the Retailer's Selling Effort Level. - Xigang Yuan; Xiaoqing Zhang; Dalin Zhang 001 (Complex., 2020)

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001; Xiaojun Chang; Yunhao Liu 001 (IEEE Trans. Cybern., 2020)

Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. - Dalin Zhang 001; Kaixuan Chen 001; Debao Jian; Lina Yao 001 (IEEE J. Biomed. Health Informatics, 2020)

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Xiaojun Chang; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Context-Aware Intent Prediction for Improved Human-Machine Interactions. - Dalin Zhang 001 (2020)

HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps. - Jonas Brusokas; Torben Bach Pedersen; Laurynas Siksnys; Dalin Zhang 001; Kaixuan Chen 001 (e-Energy, 2021)

AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. - Xinle Wu; Dalin Zhang 001; Chenjuan Guo; Chaoyang He 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

AutoCTS: Automated Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Chenjuan Guo; Chaoyang He 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. - Dalin Zhang 001; Kaixuan Chen 001; Yan Zhao 008; Bin Yang 002; Lina Yao 001; Christian S. Jensen (CoRR, 2022)

Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (CoRR, 2022)

AutoPINN: When AutoML Meets Physics-Informed Neural Networks. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Shuai Zhao 003; Yi Zhang; Huai Wang; Bin Yang 002 (CoRR, 2022)

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities. - Kaixuan Chen 001; Dalin Zhang 001; Lina Yao 001; Bin Guo 001; Zhiwen Yu 001; Yunhao Liu 001 (ACM Comput. Surv., 2022)

Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Zheng Yang 002; Xin Gao 001; Yunhao Liu 001 (IEEE Trans. Mob. Comput., 2022)

Uncertainty Quantification for Traffic Forecasting: A Unified Approach. - Weizhu Qian; Dalin Zhang 001; Yan Zhao 008; Kai Zheng 001; James J. Q. Yu (ICDE, 2023)

LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. - Zhichen Lai 001; Dalin Zhang 001; Huan Li 003; Christian S. Jensen; Hua Lu 001; Yan Zhao 008 (Proc. ACM Manag. Data, 2023)

AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention. - Yuzhe Zhang 003; Huan Liu 012; Dalin Zhang 001; Xuxu Chen; Tao Qin 002; Qinghua Zheng (IEEE Trans. Affect. Comput., 2023)

Automated labeling and online evaluation for self-paced movement detection BCI. - Dalin Zhang 001; Christoffer Hansen; Fredrik De Frène; Simon Park Kærgaard; Weizhu Qian; Kaixuan Chen 001 (Knowl. Based Syst., 2023)

Knowing Your Heart Condition Anytime: User-Independent ECG Measurement Using Commercial Mobile Phones. - Lei Wang 152; Xingwei Wang 015; Dalin Zhang 001; Xiaolei Ma; Yong Zhang 001; Haipeng Dai 001; Chenren Xu; Zhijun Li 002; Tao Gu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency. - Yan Zhao 008; Jiaxin Liu; Yunchuan Li; Dalin Zhang 001; Christian S. Jensen; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2023)

VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs. - Enyuan Zhou; Song Guo 001; Zicong Hong; Christian S. Jensen; Yang Xiao 014; Dalin Zhang 001; Jinwen Liang; Qingqi Pei (Proc. VLDB Endow., 2023)

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. - Zhen Chen; Dalin Zhang 001; Shanshan Feng 001; Kaixuan Chen 001; Lisi Chen 001; Peng Han 005; Shuo Shang (AAAI, 2024)

ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions. - Zhichen Lai 001; Dalin Zhang 001; Huan Li 003; Dongxiang Zhang; Hua Lu 001; Christian S. Jensen (KDD, 2024)

E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. - Zhichen Lai 001; Huan Li 003; Dalin Zhang 001; Yan Zhao 008; Weizhu Qian; Christian S. Jensen (WWW, 2024)

Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data. - Mengna Liu; Dong Xiang; Xu Cheng 003; Xiufeng Liu; Dalin Zhang 001; Shengyong Chen; Christian S. Jensen (CoRR, 2024)

Conditional Lagrangian Wasserstein Flow for Time Series Imputation. - Weizhu Qian; Dalin Zhang 001; Yan Zhao 008 (CoRR, 2024)

EEG-Based Multimodal Emotion Recognition: A Machine Learning Perspective. - Huan Liu 012; Tianyu Lou; Yuzhe Zhang 003; Yixiao Wu; Yang Xiao 014; Christian S. Jensen; Dalin Zhang 001 (IEEE Trans. Instrum. Meas., 2024)

Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. - Weizhu Qian; Yan Zhao 008; Dalin Zhang 001; Bowei Chen 001; Kai Zheng 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

Self-Supervised EEG Representation Learning for Robust Emotion Recognition. - Huan Liu 012; Yuzhe Zhang 003; Xuxu Chen; Dalin Zhang 001; Rui Li 073; Tao Qin 002 (ACM Trans. Sens. Networks, 2024)

Fully Automated Correlated Time Series Forecasting in Minutes. - Xinle Wu; Xingjian Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2024)

LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation. - Zhichen Lai 001; Dalin Zhang 001; Huan Li 003; Christian S. Jensen; Hua Lu 001; Yan Zhao 008 (IEEE Trans. Knowl. Data Eng., 2024)

A Multi-Label EEG Dataset for Mental Attention State Classification in Online Learning. - Huan Liu 012; Yuzhe Zhang 003; Guanjian Liu; Xinxin Du; Haochong Wang; Dalin Zhang 001 (ICASSP, 2025)

The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models. - Jonas Brusokas; Seshu Tirupathi; Dalin Zhang 001; Torben Bach Pedersen (Trans. Mach. Learn. Res., 2025)

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting. - Yuxuan Yang 005; Dalin Zhang 001; Yuxuan Liang; Hua Lu 001; Gang Chen 001; Huan Li 003 (CoRR, 2025)